Structural Brain Volumes of Individuals at Clinical High Risk for Psychosis: A Meta-analysis

Conrad E. Vissink, Inge Winter-van Rossum, Tyrone D. Cannon, Paolo Fusar-Poli, Rene S. Kahn, Matthijs G. Bossong

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: Structural magnetic resonance imaging studies in individuals at clinical high risk (CHR) for psychosis have yielded conflicting results. Methods: The aims of this study were to compare intracranial and structural brain volumes and variability of CHR individuals with those of healthy control (HC) subjects and to investigate brain volume differences and variability in CHR subjects with and without transition to psychosis. The PubMed and Embase databases were searched for relevant studies published before June 1, 2020. Results: A total of 34 studies were deemed eligible, which included baseline data of 2111 CHR and 1472 HC participants. In addition, data were included for 401 CHR subjects who subsequently transitioned to psychosis and 1023 nontransitioned CHR participants. Whole-brain and left, right, and bilateral hippocampal volume were significantly smaller in CHR subjects than in HC subjects. Cerebrospinal fluid and lateral ventricle volumes were significantly larger in CHR subjects than in HC subjects. Variability was not significantly different in CHR subjects compared with HC subjects. CHR individuals with and without subsequent transition to psychosis did not show significant differences in any of the volumetric assessments or in variability. Conclusions: This meta-analysis demonstrates reduced whole-brain and hippocampal volumes and increased cerebrospinal fluid and lateral ventricle volumes in CHR individuals. However, no significant differences were observed in any of the volumetric assessments between CHR individuals with and without subsequent transition to psychosis. These findings suggest that although structural brain alterations are present before the onset of the disorder, they may not significantly contribute to the identification of CHR individuals at the highest risk for the development of psychosis.

Original languageEnglish
Pages (from-to)147-152
Number of pages6
JournalBiological Psychiatry Global Open Science
Volume2
Issue number2
DOIs
StatePublished - Apr 2022

Keywords

  • Brain volume
  • Clinical High Risk
  • Meta-analysis
  • Neuroimaging
  • Schizophrenia
  • Structural MRI

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